Tianqi Gao
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Materials Chemistry
- Renewable Energy, Sustainability and the Environment
- Atomic and Molecular Physics, and Optics
- Co-authors
- Xiao WangWenzhong GaoHuaguang ZhangWeihang YanZiping WuShijie YanXiaojun ZhaoZhi‐Hong Liu
- Topics
- Advanced Memory and Neural Computing (14 papers)Magnetic properties of thin films (9 papers)Advanced Battery Materials and Technologies (8 papers)
- Cited by
- Electrical and Electronic EngineeringEnergy Engineering and Power TechnologyControl and Systems Engineering
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Tianqi Gao
42 papers receiving 693 citations
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 589
- Control and Systems Engineering 158
- Materials Chemistry 133
- Renewable Energy, Sustainability and the Environment 91
- Atomic and Molecular Physics, and Optics 70
Countries citing papers authored by Tianqi Gao
This map shows the geographic impact of Tianqi Gao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tianqi Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianqi Gao more than expected).
Fields of papers citing papers by Tianqi Gao
This network shows the impact of papers produced by Tianqi Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tianqi Gao. The network helps show where Tianqi Gao may publish in the future.
Co-authorship network of co-authors of Tianqi Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Tianqi Gao. A scholar is included among the top collaborators of Tianqi Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tianqi Gao. Tianqi Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 27 | |
| 9 | 67 | |
| 10 | 5 | |
| 11 | 47 | |
| 12 | 20 | |
| 13 | 4 | |
| 14 | 14 | |
| 15 | 7 | |
| 16 | 17 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 8 |
About Tianqi Gao
Tianqi Gao is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Renewable Energy, Sustainability and the Environment, having authored 44 papers that have together received 719 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Magnetic properties of thin films (9 papers) and Advanced Battery Materials and Technologies (8 papers). The work is most often cited by research in Electrical and Electronic Engineering (589 citations), Energy Engineering and Power Technology (31 citations) and Control and Systems Engineering (158 citations). Tianqi Gao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiao Wang, Wenzhong Gao, Huaguang Zhang, Weihang Yan, Ziping Wu, Shijie Yan, Xiaojun Zhao, Zhi‐Hong Liu, Zheng Cui and Jianwen Zhao. Their work appears in journals such as Energy & Environmental Science, Physical Review B and Advanced Energy Materials.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.